The Economic Impact of Lockdowns: A Persistent Inoperability Input-Output Approach

Yu, Krista Danielle S.; Aviso, Kathleen B.; Santos, Joost R.; Tan, Raymond R.

doi:10.3390/economies8040109

Cited by 40 publications

(28 citation statements)

References 38 publications

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“…For example, the Philippines experienced a significant decline of 16.5% GDP in the second quarter of 2020 due to the lockdown policy. An estimated economic loss of USD 42 billion was contributed to from the trade sector by 29.19%, the manufacturing sector by 13.11%, and the private sector by 13.11% [4]. One of the sectors suffering most from the COVID-19 pandemic is the manufacturing industry.…”

Section: Introductionmentioning

confidence: 99%

“…The imbalance between product demand and the availability of raw materials has affected companies' production process [7]. The global supply chain (SC) experienced rapid disruption due to the loss of raw materials and labor and has had a global impact [4]. COVID-19 resulted in many people losing their jobs and resulted in uncertainty between the supply and demand in the supply of clothing products [9].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage

2021

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The global order has suddenly changed due to the COVID-19 pandemic. Many countries, including Indonesia, have applied lockdown policies to stop the spread of COVID-19. Lockdown policies have disrupted the supply of raw materials and the demand for finished goods. The manufacturing industry is one of the sectors that has suffered most in this situation, and they have struggled to reconfigure their internal and external supply chain network and partnership. This study examined the impact of internal integration, supply chain partnership, supply chain agility, and supply chain resilience on sustainable advantage. The participants of this study were from manufacturing companies in Indonesia. For data collection, a questionnaire was used, with a five-point Likert scale to obtain the respondents’ opinions. Using Google Form link, the questionnaire was distributed via email and the WhatsApp social media application to the predetermined set of manufacturing companies. Respondents filled out 672 questionnaires, and 456 respondents (corresponding to 67.86%) filled it out correctly and were considered valid for further analysis. Partial least squares (PLS) regression was used to analyze the data using the SmartPLS software version 3.3. The results supported all nine hypotheses proposed. Internal integration through interdepartmental data sharing affects supply chain (SC) partnerships, SC agility, and SC resilience. Moreover, SC partnerships, through the on-time delivery of materials and by coping with changing demand, improve SC agility, SC resilience, and sustainable advantages. SC agility, in keeping the production process running normally and regulating the production capacity, affects SC resilience and sustainable advantage. SC resilience improves sustainable advantage by providing timely product delivery and reliable sales volumes in pandemic conditions. These results provide insights for managers into enhancing the sustainable advantage by improving supply chain agility, supply chain resilience, and supply chain partnerships. This study could contribute and extend the acceptance of previous studies in the context of the manufacturing industry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage

2021

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“…The actual restrictions have not affected the growth of the information and communications sector, because as the labor force shifts to work from home and students turn to online learning, the demand sector is experiencing an unprecedented surge. Increased productivity builds to develop services in the information and communication sector (Yu, Aviso, Santos, & Tan, 2020). Therefore, it is important for the East Java Provincial Government to develop facilities and services so that this sector can grow and contribute to regional economic growth.…”

Section: Resultsmentioning

confidence: 99%

Location Quotient Analysis in Facing Economic Competition during Covid-19 Pandemic

Rahadiantino

2021

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The Covid-19 pandemic has had a significant impact on people's lives. The economic sector is so affected that a balanced and well-targeted policy is needed to overcome the difficulties arising from pandemic. Large-Scale Social Restrictions (PSBB) which has been intended to reduce the spread of Covid-19 indirectly makes economic activities in production, consumption, and distribution to be hampered, so to speak, causes an economic contraction. The national economy was contracted by 5.32 percent (y-o-y) and the economy of East Java was contracted 5.90 percent (y-o-y) in the second quarter of 2020. Nevertheless, there are several economic sectors that still have good performance and have contributed greatly to East Java's Gross Regional Domestic Product. Using Location Quotient (LQ) analysis, this study aims to identify basic sectors and formulate the composition and shift of the basic sectors by using GRDP as an indicator of regional growth.

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“…The main target is the optimal policy, which addresses the lowest economic cost and rescues the maximum number of lives underneath a full lock-down of 39 days. In addition, Yu et al (2020) apply the dynamic I-O model to clarify levels of contraction in economic systems in the Philippines under a lock-down policy. Interestingly, although the original I-O models have been used considerably, the study of Thai economy still lacks the benefit of a dynamic I-O analysis.…”

Section: A Concept Of Domestic and International Economic Analysesmentioning

confidence: 99%

The Perspective of Thailand Economy After the Effect of Coronavirus-19 Pandemics: Explication by Dynamic I-O Models and Agent-Based Simulations

2021

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The panic surrounding the COVID-19 pandemic has collapsed world economic systems. Thailand is no exception. Evidently, domestic-industrial activities in many countries have nearly stopped, and international sectors have abruptly disintegrated. Unemployment has become critical, and business viability has run into trouble. This article illustrates the potential solutions to these issues linked to Thailand’s domestic and international-trade economies by econometrically applying sectoral forecasting analyses and simulations because the pandemic has not only caused physical damage, but also a negative chain in worldwide economic systems. Methodologically, dynamic input-output (I-O) analysis is circumspectly employed to obtain foresight on some predominantly industrial sectors that could potentially rescue the Thai domestic economy from the depression of 2020–2022. The I-O tables are sourced from official data of the Asian Development Bank (ADB). For the international-trade scenario, the agent-based model and simulations are used to forecast the future trends of macroeconomic responses. The two methods, dynamic I-O models and agent-based simulations, are the current means capable of sensibly predicting macroeconomic responses for monitoring the upcoming years. The empirical outcomes can clearly predict upcoming events that will be beneficial for policy implementations.

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The Economic Impact of Lockdowns: A Persistent Inoperability Input-Output Approach

Cited by 40 publications

References 38 publications

Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage

Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage

Location Quotient Analysis in Facing Economic Competition during Covid-19 Pandemic

The Perspective of Thailand Economy After the Effect of Coronavirus-19 Pandemics: Explication by Dynamic I-O Models and Agent-Based Simulations

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